1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
Common Benchmarks Undervalue the Generalization Power of Programmatic Policies
Amirhossein Rajabpour, Kiarash Aghakasiri, Sandra Zilles +1
Algorithms for learning programmatic representations for sequential decision-making problems are often evaluated on out-of-distribution (OOD) problems, with the common conclusion t…
cs.AI2023★ 1 cited
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang +3
Monte Carlo Tree Search (MCTS) is an immensely popular search-based framework used for decision making. It is traditionally applied to domains where a perfect simulation model of t…